"Math Models Pave the Way for Safer AI in Power and Transportation"

Researchers at the University of Waterloo are leveraging applied mathematics and machine learning to enhance the safety of artificial intelligence in vehicular automation and electrical grid management.

• A research team at the University of Waterloo is utilizing applied mathematics to develop rigorous safety checks for artificial intelligence systems in critical sectors such as vehicular automation and electrical grid.
• The study employs advanced techniques like artificial neural network analysis and Lyapunov function assessments to ensure the reliability of AI-driven dynamical systems in real-world applications.
• With the rise of AI in various sectors, ensuring the safety and trustworthiness of these technologies is vital, particularly in managing the electrical grid and facilitating vehicular automation.